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Table 3 Results of logistic regression analysis for the outcome everyday stress

From: Relationship between commuting and health outcomes in a cross-sectional population survey in southern Sweden

    

Everyday stress

   

Model

Commuting mode

Commuting time (min)

Resp.1 (n)

Prev.2 (%)

OR

95% C.I. Low

95% C.I. High

Unadjusted

Active

< 30

4376

17

1.00

  
 

Car

< 30

10755

17

1.04

0.95

1.14

 

Car

30-60

2280

18

1.11

0.97

1.26

 

Car

> 60

449

16

0.98

0.75

1.27

 

Public

< 30

1332

15

0.90

0.76

1.06

 

Public

30-60

1312

20

1.24

1.06

1.45

 

Public

> 60

584

20

1.25

1.00

1.55

Partly adjusted

Active

< 30

  

1.00

  
 

Car

< 30

  

1.10

1.00

1.22

 

Car

30-60

  

1.25

1.10

1.43

 

Car

> 60

  

1.21

0.93

1.58

 

Public

< 30

  

0.84

0.71

0.99

 

Public

30-60

  

1.18

1.00

1.38

 

Public

> 60

  

1.23

0.98

1.53

Fully adjusted

Active

< 30

  

1.00

  
 

Car

< 30

  

1.11

1.00

1.24

 

Car

30-60

  

1.28

1.10

1.49

 

Car

> 60

  

1.11

0.83

1.49

 

Public

< 30

  

0.81

0.67

0.98

 

Public

30-60

  

1.19

1.00

1.42

 

Public

> 60

  

1.19

0.93

1.53

  1. 1. Respondents; 2. Prevalence; Partly adjusted: Adjusted for the covariates sex, age, education, place of birth and occupational class; Fully adjusted: Adjusted for the covariates sex, age, education, place of birth, occupational class, job strain, overtime, history of unemployment, income, financial stress, residential location and family situation.
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BMC Public Health

ISSN: 1471-2458

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